GuidelineJournal of cosmetic dermatology2025
How to Treat Skin Quality: A Consensus-Based Treatment Algorithm and Expert Guidance.
Guideline in Journal of cosmetic dermatology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Comparative efficacy and safety of fractional carbon dioxide and erbium-based fractional lasers for atrophic acne scars: A systematic review and meta-analysis.Lasers in medical science · 2026Pooled it
- Regenerative Approaches to Enhance the Skin Microenvironment and Boost Aesthetic Efficacy: A Narrative Review.International journal of molecular sciences · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
Abstract
introductionSkin quality can be described using four emergent perceptual categories (EPCs): skin tone evenness, skin surface evenness, skin firmness, and skin glow. While the publication in which the EPCs were originally described by Goldie et al. notes possible treatments for each EPC, there remains a need for a resource to guide clinicians in treatment selection when addressing EPCs in clinical practice.
methodsTwelve expert aesthetic physicians from across the globe participated in this EPC working group. A modified Delphi method was used to develop a treatment algorithm. First, panelists ranked a range of aesthetic treatments based on their ability to directly improve a given EPC. A draft algorithm was developed and evaluated during a moderated discussion. The treatment algorithm was then updated and reviewed by each individual participant, with the appropriateness of treatments listed for each EPC ranked using the RAND/UCLA scale. The algorithm was again updated based on this feedback and presented to the group for final review and approval during another virtual meeting.
resultsThe treatment algorithm developed by the working group is presented here alongside clinical pearls and preferred approaches for managing each EPC. It is the hope of the working group that the algorithm can be applied in real-world clinical practice to improve patient skin quality and aesthetic outcomes.
conclusionThe presented guidance can serve as an approach to improving skin quality utilizing the framework of EPCs. The treatment algorithm may be applied to a range of skin types in practices across the globe.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.